We offer:

• Career Development
• Competitive Compensation and Benefits
• Pay Transparency
• Global Opportunities

Learn More Here: provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

The base pay range for this role is estimated to be $98800-$123500 at the time of posting. Final compensation will be determined by various factors such as work location education experience knowledge and skills.

Tasks and Qualifications:

What You Will do in This Role:

• Translate business problems in intralogistics planning and operations into clear quantitative problem statements (analytics machine learning optimization and AI).
• Contribute to the solution development lifecycle and progressively take ownership across phases including:
  • Partnering with business stakeholders and product managers on problem framing and ideation
  • Building proof-of-concept (PoC) prototypes with peer AI scientists
  • Collaborating with engineering teams on MVP deployment productization and iterative enhancements
• Work with real-world and synthetic datasets to develop train and evaluate models.
• Design and develop forecasting machine learning and optimization models for intralogistics use cases.
• Apply AI techniques to problems such as:
  • Planning scheduling and resource allocation
  • Automation autonomy and control strategies
  • Prediction and optimization of supply chain and intralogistics systems
• Design and build simulation tools to support model training validation and testing of intralogistics processes.
• Develop model-centric solution architectures that integrate ML models data pipelines and inference services.
• Write clean maintainable code following software engineering best practices and internal standards.
• Support subject-matter experts and engineering teams in delivering commercial AI and autonomy solutions.

What We Are Looking For:

Required Qualifications

• Bachelors degree in Engineering or related 3 years of relevant experience or Masters degree in Engineering or related 2 years of relevant experience.
• 4 years of experience with ML frameworks and toolchains (e.g. PyTorch TensorFlow scikit-learn or equivalents)
• 4 years of working knowledge of software engineering fundamentals (e.g. version control testing and code quality practices)
• Strong foundation in statistics and machine learning algorithms
• Proficiency in at least one programming language commonly used in AI/ML (e.g. Python C Java)
• Ability to communicate technical concepts clearly to both technical and non-technical audiences
• Ability to travel up to 15% of the time

Nice-to-Have Qualifications

• Experience working with cloud platforms (Azure or GCP)
• Familiarity with optimization and/or operations research concepts
• Experience with reinforcement learning and/or large language models (LLMs) including LLM-based applications
• Interest in applied AI within supply chain logistics or industrial automation

Location & Authorization: This is a hybrid role requiring proximity to our office in Atlanta GA. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

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